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@article{179738,
        author = {Ayush Kumar Gupta and Md Anas and Jatin Kumar and Danish Akhtar},
        title = {AI-Powered Mock Interview Website (Crack Together)},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7788-7790},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179738},
        abstract = {CrackTogether is an AI-powered interview preparation platform designed to simulate real interview environments. It features real-time face detection to ensure candidate attentiveness and integrity, AI-generated questions based on job roles and responses, and gamification through a CT Points system to enhance user engagement. Built using Flask, OpenCV, and SQLite, the platform allows users to receive instant feedback, upload questions, and track progress. This system provides a holistic approach to interview readiness by combining facial recognition, NLP-based interaction, and community-driven learning.},
        keywords = {AI Interview Simulation, Face Detection, Natural Language Processing (NLP), Real-Time Feedback, Gamification, CT Points, Flask Web App, OpenCV, Interview Integrity, User-Generated Content, Mock Interview, SQLite Database.},
        month = {May},
        }